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ELASPIC ΔΔG
The final Gibbs free energy change (ΔΔG) in kcal/mol is predicted using more than 70 sequential, molecular and energetic features with the Stochastic Gradient Boosting of Decision Trees algorithm.
For more information see the ELASPIC publication.
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ELASPIC2 (EL2) score
The ELASPIC2 (EL2) score is obtained using features generated by pretrained ProteinSolver and ProtBert neural networks with the Stochastic Gradient Boosting of Decision Trees algorithm and a ranking objective function.
For more information see the ELASPIC2 (EL2) publication.

P42771.D84Y

Detailed results for job #oncokb produced by ELASPIC

P42771, Cyclin-dependent kinase inhibitor 2A, isoforms 1/2/3:
D84Y
1
156
B2R6V2, cDNA, FLJ93132, highly similar to Homo sapiens CDC7 cell division cycle 7 (S. cerevisiae) (CDC7), mRNA:
1
574
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Model: Wild-type | Mutant | Both
Protein: P42771 | B2R6V2 | Cofactors | All
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P42771.D84Y

Completed successfully

Protein, domain: P42771 Ank

Interacting with: B2R6V2 Pkinase

PDB templates used: 1bi7_B, 1bi7_A

Seq identity: 0.992, 0.368 Model score: 1.285

ELASPIC ΔΔG: 3.870

ELASPIC2 (EL2) score: 0.535

Mutation in databases: UniProt, COSMIC, COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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